Yiwen Lu

According to our database, Yiwen Lu authored at least 41 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection.

Qiong Wu, Nathan M. Pajor, Yiwen Lu, Charles J. Wolock, Jiayi Tong, Vitaly Lorman, Kevin B. Johnson, Jason H. Moore, Christopher B. Forrest, David A. Asch, Yong Chen

Patterns, 2024

One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.

Dazheng Zhang, Jiayi Tong, Ronen Stein, Yiwen Lu, Naimin Jing, Yuchen Yang, Mary Regina Boland, Chongliang Luo, Robert N. Baldassano, Raymond J. Carroll, Christopher B. Forrest, Yong Chen

J. Biomed. Informatics, 2024

Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data.

Yiwen Lu, Jiayi Tong, Jessica Chubak, Thomas Lumley, Rebecca A. Hubbard, Hua Xu, Yong Chen

J. Biomed. Informatics, 2024

Learning competing risks across multiple hospitals: one-shot distributed algorithms.

Dazheng Zhang, Jiayi Tong, Naimin Jing, Yuchen Yang, Chongliang Luo, Yiwen Lu, Dimitri A. Christakis, Diana Güthe, Mady Hornig, Kelly J. Kelleher, Keith E. Morse, Colin M. Rogerson, Jasmin Divers, Raymond J. Carroll, Christopher B. Forrest, Yong Chen

J. Am. Medical Informatics Assoc., 2024

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.

Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen

J. Am. Medical Informatics Assoc., 2024

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.

Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan, M. Elle Saine, Lifeng Lin, Yifan Peng, Yiwen Lu, Anchita Batra, Anni Pan, Olivia Wang, Ruowang Li, Arielle Marks-Anglin, Yuchen Yang, Xu Zuo, Yulun Liu, Jiang Bian, Stephen E. Kimmel, Keith Hamilton, Adam Cuker, Rebecca A. Hubbard, Hua Xu, Yong Chen

J. Am. Medical Informatics Assoc., 2024

Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models.

Letian Gong, Yan Lin, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan

CoRR, 2024

Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics.

Yuan Zhou, Peng Zhang, Mengya Song, Alice Zheng, Yiwen Lu, Zhiheng Liu, Yong Chen, Zhaohan Xi

CoRR, 2024

From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR.

Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C. Ho, Carl Yang

CoRR, 2024

Learning-Based Efficient Approximation of Data-enabled Predictive Control.

Yihan Zhou, Yiwen Lu, Zishuo Li, Jiaqi Yan, Yilin Mo

CoRR, 2024

CoMoSVC: Consistency Model-based Singing Voice Conversion.

Yiwen Lu, Zhen Ye, Wei Xue, Xu Tan, Qifeng Liu, Yike Guo

CoRR, 2024

FlashSpeech: Efficient Zero-Shot Speech Synthesis.

Zhen Ye, Zeqian Ju, Haohe Liu, Xu Tan, Jianyi Chen, Yiwen Lu, Peiwen Sun, Jiahao Pan, Weizhen Bian, Shulin He, Wei Xue, Qifeng Liu, Yike Guo

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MPC-inspired reinforcement learning for verifiable model-free control.

Yiwen Lu, Zishuo Li, Yihan Zhou, Na Li, Yilin Mo

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

DiSandbox: A Low-cost Digital Sandbox Tool to Support Psychological Analysis and Therapy for Left-behind Children.

Yan Shi, Lidan Gong, Yiwen Lu, Lijuan Liu

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly.

Yiwen Lu, Dilek Yalcin, Paul J. Pigram, Lewis D. Blackman, Mario Boley

J. Chem. Inf. Model., June, 2023

Shape-Changing Robotic Mannequin Shoulder With Bio-Inspired Layered Structure.

Juncai Long, Jituo Li, Yiwen Lu, Chengdi Zhou, Guodong Lu, Yixiong Feng

IEEE Robotics Autom. Lett., 2023

Bridging the Gaps: Learning Verifiable Model-Free Quadratic Programming Controllers Inspired by Model Predictive Control.

Yiwen Lu, Zishuo Li, Yihan Zhou, Na Li, Yilin Mo

CoRR, 2023

Almost Surely √T Regret Bound for Adaptive LQR.

Yiwen Lu, Yilin Mo

CoRR, 2023

Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning.

Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Consecutive Inertia Drift of Autonomous RC Car via Primitive-Based Planning and Data-Driven Control.

Yiwen Lu, Bo Yang, Jiayun Li, Yihan Zhou, Hongshuai Chen, Yilin Mo

IROS, 2023

2022

NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations.

Guang Chen, Fa Wang, Weijun Li, Lin Hong, Jörg Conradt, Jieneng Chen, Zhenyan Zhang, Yiwen Lu, Alois C. Knoll

IEEE Trans. Intell. Transp. Syst., 2022

Safe and Efficient Switching Controller Design for Partially Observed Linear-Gaussian Systems.

Yiwen Lu, Yilin Mo

CoRR, 2022

Safe and Efficient Switching Mechanism Design for Uncertified Linear Controller.

Yiwen Lu, Yilin Mo

CoRR, 2022

A Hierarchical Control Framework for Drift Maneuvering of Autonomous Vehicles.

Bo Yang, Yiwen Lu, Xu Yang, Yilin Mo

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Ensuring the Safety of Uncertified Linear State-Feedback Controllers via Switching.

Yiwen Lu, Yilin Mo

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Automatic segmentation of bioabsorbable vascular stents in Intravascular optical coherence images using weakly supervised attention network.

Chenxi Huang, Guokai Zhang, Yiwen Lu, Yisha Lan, Sirui Chen, Siyuan Guo

Future Gener. Comput. Syst., 2021

E-Res U-Net: An improved U-Net model for segmentation of muscle images.

Junsheng Zhou, Yiwen Lu, Siyi Tao, Xuan Cheng, Chenxi Huang

Expert Syst. Appl., 2021

Two-timescale Mechanism-and-Data-Driven Control for Aggressive Driving of Autonomous Cars.

Yiwen Lu, Bo Yang, Yilin Mo

CoRR, 2021

Non-Episodic Learning for Online LQR of Unknown Linear Gaussian System.

Yiwen Lu, Yilin Mo

CoRR, 2021

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning.

Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Yang Jun

CoRR, 2021

Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages.

Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, Jin Song Dong

Proceedings of the 30th USENIX Security Symposium, 2021

ZKCPlus: Optimized Fair-exchange Protocol Supporting Practical and Flexible Data Exchange.

Yun Li, Cun Ye, Yuguang Hu, Ivring Morpheus, Yu Guo, Chao Zhang, Yupeng Zhang, Zhipeng Sun, Yiwen Lu, Haodi Wang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning.

Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Jun Yang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts.

Yanqiu Zeng, Baocan Zhang, Wei Zhao, Shixiao Xiao, Guokai Zhang, Haiping Ren, Wenbing Zhao, Yonghong Peng, Yutian Xiao, Yiwen Lu, Yongshuo Zong, Yimin Ding

Comput. Math. Methods Medicine, 2020

DSCD: A Novel Deep Subspace Clustering Denoise Network for Single-Cell Clustering.

Zhiye Wang, Yiwen Lu, Chang Yu, Tao Zhou, Ruiyi Li, Siyun Hou

IEEE Access, 2020

2019

An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks.

Shipu Xu, Yong Liu, Wenwen Hu, Chenxi Zhang, Chang Liu, Yongshuo Zong, Sirui Chen, Yiwen Lu, Longzhi Yang, Eddie Y. K. Ng, Yongtong Wang, Yunsheng Wang

IEEE Access, 2019

A Nine Months Follow-up Study of Hemodynamic Effect on Bioabsorbable Coronary Stent Implantation.

Yisha Lan, Yuanhang Zhou, Yiwen Lu, Hao Wang, Qing Liu, E. Y. K. Ng, Yonghong Peng, Yongtao Hao, Qinyuan Liu, Fei Chen, Yongqiang Cheng, Wenliang Che

IEEE Access, 2019

RiskCast: social sensing based traffic risk forecasting via inductive multi-view learning.

Yang Zhang, Hongxiao Wang, Daniel Yue Zhang, Yiwen Lu, Dong Wang

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

An Optimal Task Placement Strategy in Geo-Distributed Data Centers Involving Renewable Energy.

Ran Wang, Yiwen Lu, Kun Zhu, Jie Hao, Ping Wang, Yue Cao

IEEE Access, 2018

Energy-Efficient Task Scheduling for Data Centers with Unstable Renewable Energy: A Robust Optimization Approach.

Yiwen Lu, Ran Wang, Ping Wang, Yue Cao, Jie Hao, Kun Zhu

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

RiskSens: A Multi-view Learning Approach to Identifying Risky Traffic Locations in Intelligent Transportation Systems Using Social and Remote Sensing.

Yang Zhang, Yiwen Lu, Daniel Zhang, Lanyu Shang, Dong Wang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018